Multivariate Statistics Course unit title Multivariate Statistics Course unit code MAS602 Type of course unit (compulsory,optional) Compulsory Level of course unit (according to EQF: first cycle Bachelor, second cycle Master) The Second cycle of Master Degree Program Year of study when the course unit is delivered (if applicable) 2020-2021 Semester/trimester when the course unit is delivered The First Semester of Master Study Number of ECTS credits allocated 3 Credits (4.8 ECTS) Name of lecturer(s) Prof. Dr. Tanti Handriana, SE.,M.Si Dr. Yetty Dwi Lestari, S.E., MT Learning outcomes of the course unit Students are expected to be able to apply multivariate statistical techniques for management & business research and business decision making Mode of delivery (face-to-face, distance learning) face-to-face Prerequisites and co-requisites (if applicable) - Course content This course discusses multivariate statistical methods involve more than one explanatory variables. The course materials include introduction & review of basic statistics, Overview of multivariate methods, Exploratory Factor Analysis (EFA), Multiple Regression Analysis, Multiple Discriminant Analysis, Logistics Regression, MANOVA, Conjoint Analysis, Cluster Analysis, MDS (Multi-Dimensional Scaling) , Correspondence Analysis, Structural Equation Modeling (SEM) – Overview, Confirmatory Factor Analysis (CFA), and SEM Testing. Recommended or required Reading and other learning resources/tools Hair J.F., W. C. Black, B. J. Babin, and R. E. Anderson, 2014, Multivariate Data Analysis, 7th edition, Pearson, USA.. Lind; D.A.; W.G. Marchal, & S.A. Wathen, 2012, Statistical Technique in Business & Economics, 15th edition,McGraw Hill/Irwin, USA. Planned learning activities and teaching methods Lectures, Discussions, Exercises,and Assignments Language of instruction Indonesian Assessment methods and criteria Individual participation (20%), group assignment (15%), group participation (15%), midterm & final exams (50%)